Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach

dc.contributor.authorSchöbel, Sofia
dc.contributor.authorBarev, Torben
dc.contributor.authorJanson, Andreas
dc.contributor.authorHupfeld, Felix
dc.contributor.authorLeimeister, Jan Marco
dc.date.accessioned2020-01-04T07:58:09Z
dc.date.available2020-01-04T07:58:09Z
dc.date.issued2020-01-07
dc.description.abstractDigital nudging in privacy has become more important to protect users of information systems while working with privacy-related data. Nudging is about altering a user’s behavior without forbidding any options. Several approaches exist to “nudge” users to change their behavior. Regarding the usage of digital privacy nudges, research still has to understand the meaning and relevance of individual nudges better. Therefore, this paper compares the preferences of users for different digital nudges. To achieve this goal, it presents the results of a so-called best-worst scaling. This study contributes to theory by providing a better understanding of user preferences regarding design variations of digital nudges. We support practitioners by giving implications on how to design digital nudges in terms of user preferences.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2020.479
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64221
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBehavioral Economics in the Digital Economy: Digital Nudging and Interface Design
dc.subjectbest-worst scaling
dc.subjectnudging
dc.subjectprivacy nudging
dc.subjectuser preferences
dc.titleUnderstanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach
dc.typeConference Paper
dc.type.dcmiText

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